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Conghao Xiong
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2020 – today
- 2024
- [c5]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. MICCAI (4) 2024: 318-328 - [c4]Conghao Xiong, Yi Lin, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
TAKT: Target-Aware Knowledge Transfer for Whole Slide Image Classification. MICCAI (4) 2024: 503-513 - [i4]Conghao Xiong, Hao Chen, Hao Zheng, Dong Wei, Yefeng Zheng, Joseph J. Y. Sung, Irwin King:
MoME: Mixture of Multimodal Experts for Cancer Survival Prediction. CoRR abs/2406.09696 (2024) - 2023
- [c3]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. IJCAI 2023: 1587-1595 - [i3]Conghao Xiong, Hao Chen, Joseph J. Y. Sung, Irwin King:
Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification. CoRR abs/2301.08125 (2023) - [i2]Conghao Xiong, Yi Lin, Hao Chen, Joseph J. Y. Sung, Irwin King:
Knowledge Transfer via Multi-Head Feature Adaptation for Whole Slide Image Classification. CoRR abs/2303.05780 (2023) - 2022
- [c2]Kelly Marchisio, Conghao Xiong, Philipp Koehn:
Embedding-Enhanced GIZA++: Improving Low-Resource Word Alignment Using Embeddings. AMTA 2022: 264-273 - 2021
- [c1]Kelly Marchisio, Philipp Koehn, Conghao Xiong:
An Alignment-Based Approach to Semi-Supervised Bilingual Lexicon Induction with Small Parallel Corpora. MTSummit (1) 2021: 293-304 - [i1]Kelly Marchisio, Conghao Xiong, Philipp Koehn:
Embedding-Enhanced Giza++: Improving Alignment in Low- and High- Resource Scenarios Using Embedding Space Geometry. CoRR abs/2104.08721 (2021)
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